How to have NA's displayed first using arrange()
dplyr, r
Solution
You could also do:
m %>%
arrange(!is.na(wt), wt) #@Spacedman's dataset
# mpg cyl disp hp drat wt qsec vs am gear carb
#1 18.7 8 360.0 175 3.15 NA 17.02 0 0 3 2
#2 24.4 4 146.7 62 3.69 NA 20.00 1 0 4 2
#3 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
#4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4
#5 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4
#6 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
#7 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
#8 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4
#9 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1
#10 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4
Problem
Sample data: ``` temp = data.frame(col = list(NA, 1, 2, 3) ) ``` Using `arrange`: ``` temp %>% arrange(col) ``` gives ``` col 1 1 2 2 3 3 4 NA ``` and ``` temp %>% arrange(desc(col)) ``` gives ``` col 1 3 2 2 3 1 4 NA ``` I would like ``` col 1 NA 2 3 3 2 4 1 ``` that is, to put `NA`s first. Does anyone know how to do this?